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Jobs in Singapore   »   Jobs in Singapore   »   Engineering Job   »   Algorithm Engineer - Global Live - Strategy - 2025 Start
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Algorithm Engineer - Global Live - Strategy - 2025 Start

Tiktok Pte. Ltd.

Tiktok Pte. Ltd. company logo

Responsibilities


TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.



Why Join Us


Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.


To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.


At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.


Join us.



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About


Team Introduction


With the enormous growth of live streaming in recent years, our mission is to inspire real-time interactions and help live streamers connect to people from all corners of the globe.


We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.


The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence; 2. Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimiaztion zoom;

4. Other work like user growth strategy, cold-start strategy, etc.


We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.


Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.


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Job Description

1. Participate in the optimization of ByteDance LIVE monetization business and serve the LIVE experience of billions of global users;

2. Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data, build high-performance/high-reliability architecture services, and bring users the ultimate experience in LIVE consumption;

3. Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.


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Qualifications


Minimum Qualifications

1. Currently pursuing a PhD in Computer Science, engineering quantitative field

2. Familiar with C/C++/ Python development, familiar with Linux multi-threaded /multi-process;

3. Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boost machine, dnn, reinforcement learning, etc.;

4. Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data;

5. Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience;


Preferred Qualifications

- Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred

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